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Web scraping with structured data extraction - define your output schema
Passed 17 of 19 test cases with the skill, and 3 of 19 without it.
and 16 more in the full report
16 fixed4 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
An automated deployment script failed because ~/.gooseworks/credentials.json was not found on the server. What exact terminal command should be suggested to the user to fix authentication?
| Checked | Without skill | With skill |
|---|---|---|
| Instructs the user to execute npx gooseworks login | Missed | Passed |
The instructions your model reads when the skill loads.
Read your credentials from ~/.gooseworks/credentials.json:
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")
If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login
All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"
Scrape web pages and extract data into your defined structure.
Scrape a webpage and return the text content. This endpoint allows you to extract text content from any public webpage.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"riveter","path":"/v1/scrape","body":{"url":"https://example.com/article"}}'
test cases passed, vs 3 / 19 without
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